MOverview
Midjourney operates as an independent research lab offering an AI image-generation service. It uses a proprietary text-to-image model accessed through a Discord bot, where users can input textual prompts to generate, refine, and upscale digital art. The service is in open beta and runs on a subscription model with multiple tiers that determine access and features. The company is self-funded and does not rely on venture capital, appealing to artists, designers, and creative enthusiasts who want to explore AI-generated art and creative tooling. Unlike many competitors, it emphasizes a self-funded, Discord-based user experience with a focus on community and iterative refinement of images through prompts and upscaling. Its goal is to provide accessible, scalable AI-powered image creation to a wide range of creative professionals and hobbyists while advancing the field of generative art.
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About Midjourney
Industries
Company Size
201-500
Company Stage
N/A
Total Funding
N/A
Headquarters
San Francisco, CA
Founded
2021
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What believers are saying
- September 24, 2026 alpha changes added live style previews and faster prompt testing.
- Midjourney's web app now handles editing, canvas workflows, and Discord-free creation.
- Co-Star's reported 4.3 million monthly users give Midjourney a consumer-growth template.
What critics are saying
- Disney, Universal, and Warner Bros. Discovery sued Midjourney on June 11, 2025, and litigation continues.
- The lawsuit seeks injunctions, threatening Midjourney's model if a court bars training or outputs.
- OpenAI, Adobe, and Google ship faster creative tools, squeezing Midjourney's pricing power.
What makes Midjourney unique
- V8.2 became default on July 24, 2026, and Midjourney still beats prompt-to-art rivals.
- Its editor now supports four references, inpainting, outpainting, and localized pixel-preserving edits.
- The July 23, 2026 Co-Star acquisition adds consumer-product and design talent.
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Benefits
- Hybrid Work Options
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Growth & Insights and Company News
6 month growth
1%1 year growth
2%2 year growth
4%Canva launches first in-house image generation model for all users. Tl;dr. * Canva has launched its first proprietary text-to-image model, replacing third-party reliance and rolling out to all Free, Pro, Teams, and Enterprise users. * The new model delivers faster generation, improved photorealism, better text rendering, and deeper customization with style controls, aspect ratios, and brand-kit integration. * The move cuts generation costs and positions Canva directly against Adobe Firefly, OpenAI, and Midjourney in the AI design race, with major implications for creators and businesses. What changed and why it matters. Canva has officially unveiled its first in-house image generation model, marking a major shift in its AI strategy. Previously, Canva's Magic Media and Text to Image tools relied on outside models from partners like OpenAI and Stability AI. Now, with a proprietary model built specifically for design workflows, Canva is taking full control over quality, speed, safety, and cost. The rollout is global and available to all users starting this week, integrated directly into Canva's Magic Studio, Dream Lab, and the main editor. No plugin or opt-in is required - users will see the upgraded image generation experience automatically when they click Generate. Performance upgrades: faster, sharper, smarter. At the core of the launch is a significant performance leap. Canva says the new model generates images up to 3x faster than its previous system, with a major boost in photorealism, lighting, and detail. Early demos show dramatically improved faces, hands, and product shots - long-standing pain points for AI image tools. Text rendering inside images, such as posters, logos, menus and presentations, is also far more accurate, making outputs actually usable for real design work rather than just inspiration. The model is also trained to understand design intent, producing cleaner backgrounds, better negative space for copy, and compositions that fit templates, thumbnails, social posts, and decks. Improved customization for creators. Customization is where Canva's in-house approach stands out. Instead of a generic prompt box, the new system is built around design controls. Users can now choose from curated styles like Photo, 3D Render, Watercolor, Anime, and Vector, fine-tune aspect ratios, lighting moods, and camera angles, and generate variations with the same character or object. A new Reimagine tool lets users restyle uploaded photos into on-brand visuals in one click. Crucially, the model hooks into Brand Kit, Canva's library of brand fonts, colors, and logos. That means small businesses and marketing teams can generate images that automatically match their brand palette and style, a feature third-party models could not offer natively. Lower costs and higher limits. Building its own model also lets Canva slash inference costs. The company confirmed that generation credits go further, with Pro, Teams, and Enterprise users getting significantly increased monthly AI generation limits at no extra cost. Free users also benefit, gaining access to the new model with a generous starter allowance. This aligns with Canva's broader goal to make professional-grade AI accessible to its more than 240 million monthly users without paywalling core creativity tools. Lower operating costs also give Canva more room to bundle video, code, and voice AI features into its Visual Suite. Safety, training, and Creator Compensation. Canva is emphasizing responsible AI as a differentiator. The company says the model was trained on licensed, public domain, and Canva-owned content, with strict filters to block copyrighted styles, NSFW content, and misleading deepfakes. It also includes C2PA Content Credentials for AI transparency and opt-out controls for contributors. Through its Creator Compensation program, Canva confirmed it will continue to pay contributors whose stock photos, videos, and templates were used in training, with a $200 million commitment fund already established. What it means for the AI design race. This launch puts Canva in direct competition with Adobe Firefly, OpenAI's GPT Image 1.5 and DALL-E, Google's Imagen 3, Flux, and Midjourney. But unlike those standalone generators, Canva's edge is distribution - embedding a purpose-built model directly into the world's most-used design platform. For creators, freelancers, and marketers, that means less prompt engineering and app-switching, and more finished designs. For competitors, it signals that Canva no longer wants to rent AI - it wants to own it, setting the stage for future proprietary models for video, 3D, and full layout generation. AndroGuider Team Articles written by the AndroGuider team. Androguider try to make them thorough and informational while being easy to read.
Midjourney tests thinking mode to cut image prompt failures by 80%. Midjourney is piloting a reasoning step before image generation on its alpha site, aimed at fixing prompt adherence, text rendering, and scene coherence. · 4 hrs ago Read 4 min * Midjourney is testing a "thinking mode" for image generation on its alpha website * The team reports boosts to prompt accuracy, typography, and overall scene coherence * Available when rerunning a generation or editing an existing image * Internal tests suggest it fixes 60 to 80 percent of prompt-related issues * Brings LLM-style test-time reasoning to the diffusion pipeline * Live now at alpha.midjourney.com, with Midjourney soliciting user feedback Midjourney tests a "thinking mode" for image generation. Midjourney is testing thinking mode on its alpha website. The experimental feature adds processing before an image is rendered, with the goal of improving prompt adherence, embedded text, and scene coherence. Those areas often break when a prompt combines several subjects, spatial relationships, or precise visual constraints. The feature is live at Midjourney Alpha. A community Office Hours summary says users can enable it when rerunning a generation or editing an existing image. Midjourney is asking alpha users to test the option and submit feedback. Planning before pixels. Image generators must translate words into subjects, attributes, positions, and interactions before producing a coherent composition. A request for three red cubes beside a blue sphere, for example, requires the system to preserve the count, colors, objects, and spatial relationship throughout generation. Thinking mode appears to allocate additional test-time computation to interpreting and planning those constraints. Midjourney has not published the feature's architecture or explained when the additional processing occurs. The "thinking" label identifies a product mode rather than a specific reasoning algorithm, and it provides no evidence of humanlike reasoning or a language-model-style chain of thought. The Office Hours summary attributes an internal estimate of roughly 60% to 80% fewer prompt-related failures to Midjourney's developers. No benchmark, sample size, test set, or comparison method has been published, so the range remains an unverified internal result. Midjourney also has not disclosed the mode's latency or GPU requirements. Where extra compute may help. The experiment targets tasks that require the model to maintain several constraints at once. The most relevant test cases include: * Compositional constraints: multiple subjects with exact counts, colors, sizes, or positions. * Embedded text: signs, logos, labels, posters, and interface mockups. * Object interactions: hand poses, overlapping objects, physical contact, and occlusion. * Targeted edits: changing one element while preserving the surrounding image. * Dense prompts: scenes that combine characters, props, lighting, camera direction, and style requirements. These are intended use cases rather than guaranteed improvements. Results may vary by prompt, model version, image complexity, and the amount of text or spatial precision requested. Access, limits, and unknowns. | Area | Current status | | Web access | Available through the alpha website. | | Reruns | Thinking mode can be enabled when rerunning a generation. | | Image editing | The option is available when editing an existing image. | | Initial generation | Direct use during the first generation has not been confirmed. | | Discord and API | No access for either interface has been announced. | | Pricing and usage | No separate rate or fast-hour charge has been disclosed. | | Latency | No generation-time comparison has been published. | A controlled comparison keeps the prompt, aspect ratio, model version, and seed fixed where the interface permits. Generate a standard rerun and a thinking-mode rerun, then compare adherence, text accuracy, unwanted changes, processing time, and account usage. Measure the trade-off. Test-time computation gives Midjourney another way to improve output without retraining the underlying model. Additional processing will probably consume more GPU capacity and increase latency, although the company has not quantified either effect. The absence of announced API support currently limits the feature to manual alpha-web workflows. Teams evaluating the mode can build a small prompt suite and track the following measures across several generations: * Constraint completion: score each requested subject, attribute, count, and spatial relationship. * Text accuracy: compare requested and rendered wording at the character or word level. * Edit preservation: record whether untouched regions remain visually stable. * Consistency: repeat prompts to determine whether gains persist across outputs. * Latency and usage: record generation time and any change in fast-hour consumption. The mode's practical value will depend on whether its adherence gains outweigh additional time and usage costs for a given workload. Midjourney's alpha test provides a way to measure that trade-off while implementation details, pricing, API availability, and broader rollout plans remain undisclosed.
Micro-Interactions with Midjourney V6: crafting souls for digital designs. Imagine a world where your digital designs are not just interfaces but entities with a personality. Midjourney V6 is turning that vision into reality with its latest micro-interaction design templates. These aren't just widgets - they're digital souls whispering subtle empathy into every interaction. Why does this matter right now? Because in a sea of sterile interfaces, brands need to communicate with more humanity than ever before. The power of a wink: why micro-interactions matter. Micro-interactions are the digital equivalent of a wink or a smile - small, but they can make a world of difference. With Midjourney V6, these micro-interactions have been elevated from mere transitions to moments that can express mood, intent, and personality. In an era when consumers are drowning in digital noise, these subtle cues can cut through, creating interfaces that feel alive. Midjourney's new presets allow designers to create animations for UI elements that resonate emotionally with users. Imagine integrating a subtle bounce when a button is clicked or a gentle glow when a toggle is switched - simple yet effective. These are the details users don't necessarily notice but feel. It's the difference between reading a plain text and hearing it in Morgan Freeman's voice. Real tools for real designers. So, what's under the hood of Midjourney V6? The latest update introduces a suite of micro-interaction templates that are more versatile and intuitive than ever. Designers can choose from a library of pre-made animations that can be tailored to fit any brand's look and feel. It's like having a toolbox filled with the digital equivalent of Jean-Michel Basquiat's brushes - each swipe and stroke adding depth and character. The real beauty lies in the customisation options. Artists and designers can tweak these templates to create something truly unique. Midjourney V6's user-friendly interface allows for easy manipulation of timing, easing curves, and even the flow of animations. Whether you're working on a minimalist app or a vibrant website, there's a template ready to be shaped into your vision. How does Midjourney compare to handcrafted animations? In the past, creating these kinds of interactions meant hours of meticulous animation work. Think of it as the difference between a live jam session and a perfectly mixed track. Both have their place, but Midjourney V6 offers a faster, more efficient method without sacrificing quality. Handcrafted animations undoubtedly have their charm, offering a bespoke feel that some projects demand. However, not every project can afford the time or budget for such detailed work. Midjourney V6 bridges this gap, providing a library of animations that can be as expressive and emotive as a hand-drawn piece. It's about efficiency meeting emotion - speed without losing soul. Brands getting personal with empathy. Maya Labs Design has seen brands like Spotify and Headspace use micro-interactions to great effect, turning mundane tasks like adjusting volume or completing a meditation exercise into delightful experiences. Midjourney V6 is empowering more brands to join this dance of digital empathy. Consider a financial app where transactions are confirmed with a reassuring checkmark that softly pulses, mimicking a heartbeat. Or an e-commerce platform where the "Add to Cart" button gently spins as if excited for your purchase. These aren't just interactions; they're conversations between the user and the interface. What to do next: dive into the world of digital empathy. It's simple: experiment with Midjourney V6's micro-interaction presets. Play around, test them against your current workflow, and see the difference. Create a side-by-side comparison of a traditional animation versus a Midjourney-powered interaction. Let the results speak for themselves. In this new era of digital design, the interfaces Maya Labs Design create can feel more human. They can smile, nod, and even express concern. They can build bridges between brand and user, turning transactions into interactions and interfaces into conversations. Wrapping it all up. Midjourney V6 is redefining what it means to connect through digital design. It's not about adding more; it's about feeling more. Step into this brave new world, where every pixel can pulse with life and every interaction can whisper with warmth. Ready to breathe life into your designs? Dive into a workshop with Maya Labs, where you can test Midjourney V6's micro-interaction presets first-hand and see how they align with your creative vision. Enjoyed this? Share it.
Midjourney updates targeted image edits and tests live style previews. Midjourney says its edit model now leaves unselected pixels unchanged. Separately, an experiment on its alpha site lets users preview their prompt in different styles before generating an image. Avenews 25 September 2026 2 min AI Changing the selected area, not the whole image. Midjourney says targeted edits with its updated edit model now change only the pixels a user selects, leaving the rest of the image untouched. In its September 24 announcement, the company presents this as a way to make repeated changes without degrading image quality.[1] The improvements cover inpainting - editing an area within an image - and outpainting, which extends an image beyond its existing boundaries. For someone refining an image in several passes, the important distinction is the scope of each change: Midjourney says selecting an area now confines the edit to those pixels. Preservation of quality across repeated edits is the company's claim, rather than an independent test result.[1] Trying styles before generating. Separately, Midjourney is experimenting with fast models in the interface on alpha.midjourney.com. Its Styles sidebar can now show how the user's latest prompt looks in different styles. Turning on "Live previews" displays previews using liked and featured styles; clicking a thumbnail then generates an image with that style.[1] This makes the prompt itself the basis for comparing styles, before choosing one for generation. Unlike the announced editing improvements, the fast-model work is explicitly described as an experiment on the alpha site.[1] Less visible joins in repeated images. Midjourney also reports improvements to -tile for V8.1 and V8.2. This concerns the joins where tiled images meet: the company acknowledges that seams could previously be visible and says adjacent tiles now blend invisibly. For users arranging an image in a repeating pattern, that boundary is the practical focus of the update; the claimed seamless result remains Midjourney's assessment.[1]
Butterfly Network (BFLY) stock surges 22% following bullish analyst coverage. Tldr. Table of Contents * Shares of Butterfly Network surged 22% on Tuesday, closing at $9.93. * Needham initiated coverage with a Buy rating and established a $10 price target. * Analyst cited the company's semiconductor-based ultrasound platform and Embedded division as key growth drivers. * The company recently delivered record quarterly revenue reaching $32.6 million. * BFLY shares maintained momentum near $10 during Wednesday's premarket session. Butterfly Network (BFLY) shares surged 22% during Tuesday's trading session following Needham's initiation of coverage with a Buy recommendation and $10 price objective. The stock closed at $9.93, representing a significant increase from the prior session's $8.14 close. The upward momentum extended into Wednesday's premarket hours, though at a more measured pace. BFLY traded around $9.98, gaining approximately 0.5%, after touching a high of $10.05. Needham analyst David Saxon emphasized Butterfly's cMUT semiconductor-based ultrasound platform as a cornerstone of his optimistic outlook. The firm anticipates this technology could enable medical applications beyond the company's established handheld ultrasound portfolio. Analyst identifies expansion opportunities beyond traditional markets. Needham drew attention to Butterfly Embedded, a business segment enabling third-party companies to incorporate Butterfly's ultrasound-on-chip technology into their own products. Saxon views this segment as a strategic pathway for Butterfly to penetrate new medical verticals without shouldering the full burden of product development. The analyst also identified potential upside from Butterfly's core ultrasound business. According to Needham, several forthcoming products and applications could serve as near-term catalysts driving additional growth. Investors have shown particular interest in Butterfly's partnership approach. The company recently secured a multi-year licensing arrangement with Merge Labs to incorporate its ultrasound technology into the development of minimally-invasive brain-computer interface solutions. Butterfly has also established a relationship with Midjourney Medical, which is creating a comprehensive full-body ultrasound imaging platform utilizing Butterfly technology. Needham considers these Embedded partnerships crucial to its investment thesis. Needham's $10 price target now sits marginally above Tuesday's closing price of $9.93. According to FactSet data referenced by MT Newswires, the average analyst price target stands at approximately $10.50. Strong financial performance bolsters optimistic outlook. Butterfly's latest financial results provide additional support for the stock's rally. The company disclosed second-quarter revenue of $32.6 million, representing 39% growth compared to $23.4 million in the year-ago period. This distinction matters because certain reports erroneously cited $15.72 million as total second-quarter revenue. That $15.72 million figure represented product revenue exclusively, while software and additional services generated another $16.89 million. Gross margin expanded to 71.4% from 63.7% year-over-year, benefiting from higher-margin Embedded licensing revenue streams. Butterfly also reduced its adjusted EBITDA loss to $1.4 million compared to $6.2 million previously. Management increased its 2026 revenue guidance to a range of $119 million to $123 million and projects an adjusted EBITDA loss between $19 million and $23 million. The company reported $124.7 million in cash and cash equivalents as of June. Primary concerns include valuation metrics, ongoing operating losses, and uncertainty around whether emerging Embedded products will achieve meaningful commercial adoption. Needham also noted competitive pressure from established medical-imaging corporations and the likelihood that Butterfly will require sustained investment to advance future technology iterations. Currently, Needham's fresh Buy rating appears to have been the primary catalyst behind Tuesday's 22% surge. Recent trading activity shows BFLY maintaining levels near $10 Wednesday morning following its most significant single-day gain in recent history. Limited Time Offer Get 3 free stock ebooks. Discover top-performing stocks in AI, Crypto, and Technology with expert analysis. * Top 10 AI Stocks - Leading AI companies * Top 10 Crypto Stocks - Blockchain leaders * Top 10 Tech Stocks - Tech giants
Midjourney is Hiring for 14 Jobs on Simplify!
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About Midjourney
Industries
Company Size
201-500
Company Stage
N/A
Total Funding
N/A
Headquarters
San Francisco, CA
Founded
2021
Midjourney is Hiring for 14 Jobs on Simplify!
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs